Argos — Your AI Operations Agent
800+ Tools. 50 Connectors. One Agent.
Argos is an autonomous AI agent that investigates incidents, queries your entire infrastructure, generates live dashboards, runs scheduled health checks, and remembers context across conversations — all from a single chat interface.
50 Connectors, One Unified Agent
Argos connects bidirectionally to your entire stack. Read data, search logs, execute actions — all through natural language.
☁️ Cloud
AWS, GCP, Azure
⚙️ Orchestration
Kubernetes, Argo CD, Terraform
📊 Monitoring
Prometheus, Grafana, Loki, Tempo, Datadog, Elasticsearch
🗄️ Databases
MySQL, PostgreSQL, MSSQL, Oracle, Redis, Memcached, BigQuery
🔐 Security
Wiz, Snyk, Falco, CrowdStrike, Wazuh, OGO
🔗 VCS
GitHub, GitLab
🤝 Collaboration
Slack, Jira, Confluence, Notion, ServiceNow
🔑 Identity & PAM
Keycloak, Google Workspace, Microsoft 365, JumpServer
What Argos Can Do
🔍 AI Incident Investigation
Ask Argos "why is the API slow?" and it queries Prometheus metrics, Loki logs, Kubernetes pod states, and recent deployments simultaneously. Root cause in seconds, not hours.
📊 Live Dashboards & Visualizations
Say "show me CPU usage across all pods for the last 24h" and get an interactive ECharts graph. Pin it to a dashboard, share it publicly, or set it to auto-refresh.
🩺 Health Notebooks
Automated health reports scored 0-100, scheduled daily or weekly. Get a Slack summary every morning: "Cluster health: 87/100, 2 medium findings." Delta vs. previous run included.
⏰ Periodic Jobs
"Every day at 8am, check if SSL certs expire within 30 days and open a Jira ticket." Cron-scheduled AI tasks in read-only or remediation mode.
📚 Knowledge Base & RAG
Index your runbooks, Confluence pages, Notion docs, Slack history. Argos searches them during investigation for context-aware answers grounded in your documentation.
🧠 Persistent Memory
"Last time we had this, it was the HPA scaling limit." Argos remembers context across conversations with a key-value memory store per organization.
💬 Bot Integrations
Talk to Argos directly in Slack, Teams, Discord, or Jira. Map channels to personas, thread-aware conversations. No context switching needed.
🛡️ Choose Your LLM
Gemini, Claude, GPT, GitHub Copilot, or local LLMs (Ollama, vLLM). Custom API keys, custom endpoints, complete data sovereignty with zero egress.
How AI Investigation Works
1. Alert Fires
A monitor goes down or an alert source triggers. Argos is notified instantly.
2. Context Gathering
The agent queries your connectors — K8s, Prometheus, Loki, Git — correlating events, metrics, and logs.
3. Root Cause
AI cross-references all data, checks your KB for similar incidents, and identifies the root cause.
4. Remediate
Execute fixes autonomously or propose actions for human approval. Full audit trail.
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Frequently Asked Questions
What can I ask Argos?
Anything about your infrastructure. "Why is pod X crashing?", "Show me error rates for the last hour", "Check if any SSL certs expire this week", "Scale the frontend deployment to 5 replicas." Argos uses 800+ tools across 50 connector types to answer.
Does Argos have write access to my systems?
Only if you allow it. Each connector has granular capability controls: read, write, search, admin. You can restrict Argos to read-only investigation or enable full remediation — per connector, per namespace, per project.
How does the Knowledge Base work?
Upload PDFs, Markdown, or sync from Confluence, Notion, GitLab Wiki, Slack, Google Drive, SharePoint. Documents are indexed using BGE-M3 embeddings with hybrid search (dense + BM25). Argos automatically searches your KB during investigation for context-aware answers.
Can I use a local LLM?
Yes. Argonix supports Ollama, vLLM, and any OpenAI-compatible endpoint. Your data never leaves your infrastructure. You can also use cloud providers (Gemini, Claude, GPT) or bring your own model.
Meet Your AI Operations Agent
50 connectors. 800+ tools. One conversation to understand your entire infrastructure.